The present invention discloses a streaming media service rate prediction method and device. According to the scheme of the present invention, the service rate influence data of the previous data sampling time period of the current moment can be obtained, the obtained service rate influence data is inputted to a set least squares support vector machine (LS-SVM) rate prediction model to obtain the service prediction rate of the next data sampling time period of the current moment, and the corresponding streaming media data is generated according to the service prediction rate, wherein the LS-SVM rate prediction model is obtained by training multiple sets of sample data within the previous set time period of the current moment according to a set LS-SVM rate prediction algorithm, so that the service rate prediction accuracy is improved, the code rate of the generated streaming media matches a current network rate more accurately, and the problems, such as the video lag, the network bandwidth waste, etc., are avoided.